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Operating Risks and Firm Leverage |
ZOU Jingxian, JIA Shen, QIU Yajing, QIU Han
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National Academy of Development and Strategy, Renmin University of China; Development Strategy and Regional Economic Research Department, Development Research Center of the State Council; Zheshang Bank Corporation; National School of Development, Peking University |
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Abstract The literature on corporate finance has traditionally categorized studies on firm leverage under capital structure. However, macroeconomists have begun to study the topic of firm leverage since the 2008 global financial crisis. Macroeconomic studies have argued that changes in leverage are related to a contraction or expansion of credit, i.e. the credit cycle, or an additional business cycle overall. Another category of studies have argued that the differences in leverage are tied to structural differences in firm characteristics, including ownership, firm size, and financing constraints. The two types of studies have advanced our understanding of macroeconomic fluctuations, although they have left some gaps in the literature. The first type has argued that changes in credit cycle and firm leverage are causes of economic fluctuations. However, the question remains, what leads to the cyclical fluctuations in leverage? The second type, in contrast, has failed to explain the observed fluctuations. For instance, they have shown that ownership affects firm leverage, but they have failed to explain the structural and cyclical changes in firm leverage. The motivation of this paper is to examine the fundamental mechanism behind the cyclical changes in firm leverage. This paper focuses on one dominant determinant for the firm's investment, the firm's expectation for the future. The firm's decision to borrow to finance an investment is a risky intertemporal decision. The increase in leverage can significantly raise the return on assets during a boom period, but the decision can lead to great loss in an economic recession. Following this argument, an enterprise's choice of leverage ratio should be pro-cyclical if the expectation of a representative agent in the economy is optimistic in times of economic prosperity (i.e. increasing risk preference) and pessimistic (i.e. decreasing risk preference) in times of economic recession. In this paper, we concentrate on the firm's most direct operating risks, measured by the standard deviation of ROA within the “year*city*2-digit industry” cell. This study uses data from the Industrial Enterprise Database (1998-2013). We find that the firm's operating decisions become more conservative as the firm's operating risks increase, as demonstrated by a decline in leverage. We decompose leverage as a “liability-asset” to show that assets and liabilities both drop in times of rising operating risks. The decrease in liability is larger than that in assets, which leads to a downward slope in leverage. Moreover, we show that the key mechanism is the contraction in investment, suggesting that the process of de-leveraging is equivalent to a decrease in investment. After separating liabilities by long-and short-(current) term liabilities, we find that the decrease in current liabilities is prioritized when firms are dealing with increasing risks. Grouped by ownership, non-state-owned enterprises (non-SOE) are most sensitive to the changes in operating risks, while SOEs are much more stable. These findings may be explained by the differences in their financing capacity, industry characteristics, and operating objectives. This paper makes the following contributions. First, it advances the literature on firm leverage cycles. Studies on credit cycles have focused on the role of financial intermediates as credit suppliers. This paper, in contrast, focuses on the role of credit demand to show the pro-cyclical pattern that exacerbates economic fluctuations. Second, we examine the changes in liabilities based on duration, ownership, and possible mechanism. Third, the firm's decision is used as a framework to examine the leverage cycle, which results in policy implications. Specifically, credit cycle theorists have argued that credit should be eased in an economic recession. However, this study shows that while credit easing may alleviate the liquidity risks in the financial market, it fails to stimulate the real economy if the firms have a negative outlook for the future. It also indicates that monetary easing prior to a recovery in the firm's expectation will divert finances out of the real economy. Furthermore, credit easing does not stabilize the real economy if the high-yielding firms are more conservative. Rather, it may aggravate the problem of adverse selection and financial risks. This paper suggests that a more effective method would be to apply expansionary fiscal policies to stabilize the firms' demand and strengthen their confidence, then apply credit easing as a complementary tool.
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Received: 12 April 2019
Published: 30 December 2020
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[1] |
才国伟、吴华强和徐信忠,2018,《政策不确定性对公司投融资行为的影响研究》,《金融研究》第3期,第89~1-4页。
|
[2] |
苟琴、黄益平和刘晓光,2014,《银行信贷配置真的存在所有制歧视吗?》,《管理世界》第1期,第16~26页。
|
[3] |
顾夏铭、陈勇民和潘士远,2018,《 经济政策不确定性与创新——基于我国上市公司的实证分析》, 《经济研究》第2期, 第109~123页。
|
[4] |
纪敏、严宝玉和李宏瑾,2017,《杠杆率结构、水平和金融稳定——理论分析框架和中国经验》,《金融研究》第2期,第15~29页。
|
[5] |
纪洋、王旭和谭语嫣等,2018,《经济政策不确定性、政府隐性担保与企业杠杆率分化》,《经济学(季刊)》第2期,第449~470页。
|
[6] |
贾珅、申广军,2016,《企业风险与劳动收入份额:来自中国工业部门的证据》,《经济研究》第5期,第116~129页。
|
[7] |
林毅夫和李周,1998,《竞争、政策性负担和国有企业改革》,《经济社会体制比较》第5期,第1~5页。
|
[8] |
刘海明和曹廷求,2017,《信贷供给周期对企业投资效率的影响研究——兼论宏观经济不确定条件下的异质性》, 《金融研究》第12期,第80~94页。
|
[9] |
聂辉华、江艇和杨汝岱,2012,《中国工业企业数据库的使用现状和潜在问题》,《世界经济》第5期,第142~158页。
|
[10] |
王义中、陈丽芳和宋敏,2015,《中国信贷供给周期的实际效果:基于公司层面的经验证据》,《经济研究》第1期,第52~66页。
|
[11] |
易纲,2019,《坚守币值稳定目标 实施稳健货币政策》,《求是》第23期。
|
[12] |
钟凯、程小可和张伟华,2016,《货币政策、信息透明度与企业信贷期限结构》,《财贸经济》第3期,第60~77页。
|
[13] |
钟宁桦、刘志阔、 何嘉鑫和苏楚林,2016,《我国企业债务的结构性问题》,《经济研究》第7期,第102~117页。
|
[14] |
Baker, Scott R, Bloom N and Davis, Steven J, 2016, “Measuring Economic Policy Uncertainty”,The Quarterly Journal of Economics, 131, pp. 1593~1636.
|
[15] |
Baum, C. F., Caglayan M and Ozkan N, 2004, “The Impact of Macroeconomic Uncertainty on Trade Credit for Non-Financial Firms”,Social Science Electronic Publishing, 15(4), pp. 289~304.
|
[16] |
Bloom, N., 2009, “The Impact of Uncertainty Shocks”, Econometrica, 77(3), pp. 623~685.
|
[17] |
Brunnermeier, M.K. and Oehmke, M., 2013, “The Maturity Rat Race”, The Journal of Finance, 68(2), pp.483~521.
|
[18] |
Diamond, D. W,1991, “Debt Maturity Structure and Liquidity Risk”, The Quarterly Journal of Economics, 106(3), pp. 709~737.
|
[19] |
Eggertsson, G. B. and Krugman P. Debt, 2012, “Deleveraging and the Liquidity Trap: A Fisher-Minsky-Koo Approach,”The Quarterly Journal of Economics, 127(3), pp.1469~1513.
|
[20] |
Eichengreen, B, Mody A. Lending booms, 2000, “Reserves and the Sustainability of Short-term Debt: Inferences from the Pricing of Syndicated Bank Loans”. Journal of Development Economics, 63(1), pp. 5~44.
|
[21] |
Gustafson, Matthew, and J. D. Kotter,2017, “Minimum Wage and Corporate Policy”, Social Science Electronic Publishing.
|
[22] |
Jiang, F., Qi, X., & Tang, G., 2018. “Q-theory, Mispricing, and Profitability Premium: Evidence from China”, Journal of Banking & Finance, 87, pp.135~149.
|
[23] |
Jensen, M. C. and Meckling, W. H., 1976, “Theory of the Firm: Management Behavior, Agency Cost and Ownership Structure”, Social Science Electronic Publishing, 3(4), pp.305~360.
|
[24] |
Lin, X., Zhao, X., Favilukis, J., et al., 2017, “The Elephant in the Room: the Impact of Labor Obligations on Credit Markets, in: 2017 Meeting Papers”, Society for Economic Dynamics, 896.
|
[25] |
Reinhart, C. M. and Rogoff K S., 2009, “The Aftermath of Financial Crises”, American Economic Review, 99(2), pp.466~472.
|
[26] |
Robichek, A. A., and Myers, S. C.,1966, “Problems in the Theory of Optimal Capital Structure”, Journal of Financial & Quantitative Analysis, 1(2), pp.1~35.
|
[27] |
Ross, S. A.,1977, “The Determination of Financial Structure: the Incentive-signalling Approach”, Bell Journal of Economics, 8(1), pp.23~40.
|
[28] |
Serfling, M., 2016, “Firing Costs and Capital Structure Decisions”, Journal of Finance, 71(5), pp. 2239~2286.
|
[29] |
Simintzi, E., Vig, V., & Volpin, P., 2014, “Labor Protection and Leverage”, Review of Financial Studies, 28(2), pp. 561~591.
|
[30] |
Wei, X., Gong, Y. and Wu, H.M., 2017, “The Impacts of Net Stable Funding Ratio Requirement on Banks' Choices of Debt Maturity”, Journal of Banking & Finance, 82, pp.229~243
|
[31] |
Zou, J., Shen, G. and Gong, Y., 2019, “The Effect of Value-added Tax on Leverage: Evidence from China's Value-added Tax Reform”,China Economic Review, 54, pp.135~146.
|
|
|
|